Data Engineer

Digipulse Technologies Inc.; Smithfield (RI); On-site; USD 110,000 - 140,000; Full time

Job summary

Digipulse Technologies Inc. in the United States (Rhode Island) is seeking a data engineering professional to design, build, and optimize ELT/ETL pipelines across Snowflake, Oracle, and PostgreSQL.

The role requires hands-on experience with Python and SQL, plus scripting with Shell or Groovy to automate data processing. You'll implement scalable workflows with Apache Airflow and/or Control-M, establish CI/CD via GitHub and Jenkins, and create containerized deployments with Docker.

Qualifications

• Strong ELT/ETL experience moving and transforming data across heterogeneous platforms.
• Deep knowledge of Snowflake, Oracle and PostgreSQL.
• Proficient in Python and SQL, with Shell and Groovy scripting for automation.

Skills

Python

SQL

Shell

Groovy

CI/CD

Airflow

Control-M

Snowflake

Oracle

PostgreSQL

AWS

Tools

Apache Airflow

Control-M

GitHub

Jenkins

Docker

Snowflake

Oracle

PostgreSQL

AWS

Job description

• Required Technical Expertise (Must Have)Strong hands‑on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL.
• Deep understanding of data structures, relational databases, and cloud‑native storage technologies across Snowflake, Oracle, Postgres, and other cloud‑based RDBMS platforms.
• Proficiency in Python and SQL, with practical experience using scripting languages such as Shell and Groovy for automation and data processing.
• Proven experience designing, implementing, and orchestrating complex data pipelines using Apache Airflow and/or Control?M, with a focus on scalability, reliability, and operational efficiency.
• Hands‑on expertise with Docker, including container image creation, multi‑stage builds, container registries, and secure, scalable container‑based deployments.
• Strong experience implementing CI/CD pipelines using GitHub and Jenkins, including automated builds, testing, deployments, and adherence to security and quality procedures.

Must have skills: Python, Ctrol+M or Apache Airflow, Oracle and Snowflake, strong SQL, CI/CD experience, Docker, Jenkins, Github

Nice to have skills: AWS, Postgres, UI technologies for building dashboards (Angular, React, Nod.js, Typescript)

Interview Process: 2 rounds total 45 mins – technical panel 45 mins - with squad leader